Title :
Hybrid Model for Knowledge Representation
Author :
Shetty, Reena T N ; Riccio, Pierre-Michel ; Quinqueton, Joël
Author_Institution :
LGI2P, EMA, Paris
Abstract :
In this paper the fundamental idea is top develop and explore an innovative approach of completing human designed networks with that of machine built word networks. This network forms a hybrid method which combines human precision with that of machine computation to form a knowledge representation model. This model in turn encourages faster and efficient construction of automatic ontology. Our objective is to tackle the problem faced in the field of information retrieval and classification in the current era of information overflow
Keywords :
classification; information retrieval; ontologies (artificial intelligence); automatic ontology; information classification; information overflow; information retrieval; knowledge representation; machine computation; Buildings; Costs; Humans; Information retrieval; Knowledge representation; Machine intelligence; Ontologies; Proposals; Resource description framework; Semantic Web;
Conference_Titel :
Hybrid Information Technology, 2006. ICHIT '06. International Conference on
Conference_Location :
Cheju Island
Print_ISBN :
0-7695-2674-8
DOI :
10.1109/ICHIT.2006.253512
